code: def test_hierarchy_pandas_index(self):
      df = pd.DataFrame(
          {
              "hello": ["a", "b", "c", "a", "a", "b", "c", "d", "d"],
              "world": [0, 1, 0, 0, 1, 0, 0, 1, 1],
          },
          columns=pd.Index(["hello", "world"]),
      )
      cols = df.select_dtypes(include="object").columns
  
      self.hierarchical_map = {
          "hello": {"A": ("a", "b"), "B": ("c", "d")},
      }
  
      enc = encoders.TargetEncoder(
          verbose=1,
          smoothing=2,
          min_samples_leaf=2,
          hierarchy=self.hierarchical_map,
          cols=cols,
      )
      result = enc.fit_transform(df, df["world"])
  
      values = result["hello"].array
      self.assertAlmostEqual(0.3616, values[0], delta=1e-4)
      self.assertAlmostEqual(0.4541, values[1], delta=1e-4)
      self.assertAlmostEqual(0.2425, values[2], delta=1e-4)
      self.assertAlmostEqual(0.7425, values[7], delta=1e-4)
  
imports: import pandas
  from unittest import TestCase
  import tests.helpers
  import numpy
  from category_encoders.datasets import load_postcodes, load_compass
  import category_encoders
label_desc: Use image node_id 12 for calling the TestTargetEncoder obj's underlying member method code with example usage: obj.test_hierarchy_pandas_index() without return types